Royal Philips has introduced a new predictive analytics engine, CareSage, in a bid to help health systems to support population health management.
CareSage is said to offer analysis of real-time and historical data from health care providers and Philips Lifeline, to proactively identify patients to have health issues, allowing clinicians to intervene before problems occur and helping patients to reduce avoidable hospitalizations.
Philips home monitoring general manager and senior vice-president Kimberly O’Loughlin said: "Coming home after a hospital stay is a relief for seniors, but it also comes with potential risks. By reviewing data from CareSage’s analytics and our wearable medical alert devices, health systems can predict when their at-home patients are likely to be hospitalized and intervene in advance.
"CareSage is another example of Philips’ commitment to connected health; leveraging data, analytics and our 24×7 service monitoring capabilities to help provide health systems with the right data at the right time to help deliver care for a wide range of patient populations."
CareSage has been developed based on Philips HealthSuite Digital Platform, an open cloud-based platform that helps to secure collection and analysis of health and lifestyle data from multiple sources and devices.
According to the company, CareSage uses Philips Lifeline’s AutoAlert technology and wealth of aging and health data to focus on senior patients when they return home after a hospital visit or home health care period.
Philips Lifeline is collaborating with health systems to develop additional programmes and applications for the predictive analytics engine.
Image: Royal Philips has introduced new predictive analytics engine CareSage. Photo: courtesy of Koninklijke Philips N.V.